Characterisation of secondary fragmentation processes using a combination of laboratory experiments and numerical analysis

结合实验室实验和数值分析来表征二次破碎过程

• 批准号: 453374-2013
• 负责人: Elmo, Davide
• 金额: $ 4.99万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=597200
• 关键词: Characterisation; secondary; fragmentation; processes; using

The development of a fragmentation model is critical to provide reliable estimates of fragmentation for use in mine planning. The model would need to provide a measure of the range and distribution of the sizes of the rock blocks expected to be produced at various stages during the mining processes. For block and panel cave mining, the size and shape of the blocks extracted from the drawpoints is of particular importance, since the production equipment and the drawpoint layouts must accommodate the resulting blocks. The disparity between fragmentation predictions assessed during mine feasibility and those encountered during caving underscore the need to better understand secondary fragmentation processes and mechanisms to facilitate the economic and sustainable mining of the resource. To address this need, funds and in-kind support have been provided by industry partners to support research at the University of British Columbia (UBC) that will focus on integrating numerical analyses and laboratory experiments to study the failure and comminution processes associated with rock fragmentation under different load conditions that parallel those encountered in a caved ore column. The research will use controlled experiments at different laboratory scales to calibrate and constrain a series of advanced numerical analyses simulating brittle fracture processes (using the state-of-the-art FEMDEM code ELFEN). These will be used to develop new tools and relationships for characterising secondary fragmentation for block and panel cave mine design. Building on this, a three-year NSERC Collaborative Research and Development (CRD) grant is proposed here that will work towards integrating sophisticated numerical methods with laboratory experiments to improve our knowledge of fragmentation processes for underground mass mining methods and its contribution to safe and economic mining. The key objectives of the CRD will focus on geostatistics based Discrete Fracture Network (DFN) models, rock breakage efficiency associated with veins density, and calibration of modelling results with experimental results.

破碎模型的开发对于提供可靠的破碎估计以供矿山规划使用至关重要。该模型需要测量采矿过程中各个阶段预计产生的岩块尺寸的范围和分布。对于块料和面板洞穴采矿，从放料点提取的块料的尺寸和形状特别重要，因为生产设备和放料点布局必须容纳所得块料。采矿可行性期间评估的破碎预测与崩落过程中遇到的破碎预测之间的差异强调需要更好地了解二次破碎过程和机制，以促进资源的经济和可持续开采。为了满足这一需求，行业合作伙伴提供了资金和实物支持，以支持不列颠哥伦比亚大学 (UBC) 的研究，该研究将侧重于整合数值分析和实验室实验，以研究与岩石破碎相关的破坏和粉碎过程在与崩落矿柱中遇到的情况类似的不同载荷条件下。该研究将使用不同实验室规模的受控实验来校准和约束一系列模拟脆性断裂过程的先进数值分析（使用最先进的 FEMDEM 代码 ELFEN）。这些将用于开发新的工具和关系，用于表征块状和面板洞穴矿山设计的二次破碎特征。在此基础上，这里提出了一项为期三年的 NSERC 合作研究与开发 (CRD) 拨款，该拨款将致力于将复杂的数值方法与实验室实验相结合，以提高我们对地下大规模采矿方法破碎过程的了解及其对安全和经济的贡献矿业。 CRD 的主要目标将集中于基于地质统计学的离散断裂网络 (DFN) 模型、与矿脉密度相关的岩石破碎效率以及模型结果与实验结果的校准。